Job Title
Senior AI Developer
Location
[Remote/Hybrid/On-site]
Employment Type
Full-Time
Job Summary
We are seeking an experienced Senior AI Developer to lead the design, development, and deployment of cutting-edge Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong expertise in AI/ML technologies, Generative AI, Large Language Models (LLMs), and cloud-based AI platforms. This role involves building scalable AI applications, mentoring team members, and collaborating with cross-functional teams to drive innovation and business value.
Key Responsibilities
- Design, develop, and deploy AI/ML models and intelligent applications.
- Build and optimize Generative AI solutions using Large Language Models (LLMs).
- Develop AI-powered applications, chatbots, recommendation engines, and automation solutions.
- Fine-tune, evaluate, and deploy machine learning and deep learning models.
- Create scalable AI architectures and integrate AI services into enterprise applications.
- Collaborate with product managers, engineers, and stakeholders to define AI-driven solutions.
- Implement MLOps best practices for model deployment, monitoring, and maintenance.
- Conduct research on emerging AI technologies and recommend innovative solutions.
- Mentor junior developers and provide technical leadership on AI initiatives.
- Ensure AI solutions meet security, compliance, and performance requirements.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
- 6+ years of software development experience with at least 3+ years focused on AI/ML development.
- Strong experience with Python and AI/ML frameworks.
- Hands-on experience with Generative AI, LLMs, and prompt engineering.
- Experience building and deploying machine learning models in production environments.
- Strong understanding of machine learning algorithms, deep learning, NLP, and computer vision.
- Experience with cloud AI services and distributed computing environments.
- Excellent problem-solving, communication, and leadership skills.
Technical Skills
AI/ML & Generative AI
- Machine Learning, Deep Learning, NLP, Computer Vision
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- AI Agents and Autonomous Workflows
- Model Fine-Tuning and Evaluation
Frameworks & Libraries
- PyTorch
- TensorFlow
- Scikit-learn
- Hugging Face Transformers
- LangChain
- LlamaIndex
Programming Languages
- Python
- Java
- JavaScript/TypeScript
- SQL
Cloud & MLOps
- AWS (SageMaker, Bedrock)
- Azure AI Services
- Google Vertex AI
- Docker
- Kubernetes
- MLflow
- CI/CD Pipelines
Databases & Vector Stores
- PostgreSQL
- MongoDB
- Redis
- Pinecone
- Weaviate
- ChromaDB
Preferred Qualifications
- Experience with multi-agent AI systems and agent orchestration frameworks.
- Knowledge of AI governance, responsible AI, and model monitoring.
- Experience with vector databases and semantic search solutions.
- Familiarity with enterprise integrations, APIs, and microservices architecture.
- Contributions to AI research, open-source projects, or published technical content.
Soft Skills
- Strong leadership and mentoring capabilities.
- Excellent analytical and critical-thinking skills.
- Ability to communicate complex AI concepts to technical and non-technical stakeholders.
- Strong collaboration and stakeholder management skills.
- Continuous learning mindset with a passion for emerging AI technologies.
Benefits
- Competitive salary and bonus structure.
- Comprehensive health and wellness benefits.
- Flexible work arrangements.
- Professional development and certification support.
- Opportunity to work on innovative AI and Generative AI initiatives.